Figure 3

Examples of the diffusion of crime risk on a typical section of street network in response to burglary events. The system is perturbed by artificially raising the burglary risk Q _i on one segment: each set of frames (a) and (b) shows the network, coloured according to Q, in the original configuration, followed by the situation at the time of the burglary and two further snapshots at later times. The parameter values used here are η = 0.4,Γ = 0.5 and ω = 0.7, and the value of δ t used in the simulations is 0.01.